American Statistical Association
New York City
Metropolitan Area Chapter

Levin Lecture Series: Spring 2018 Colloquium Seminars
Department of Biostatistics
Columbia University



RECENT PROGRESS IN MACHINE LEARNING AND PRECISION MEDICINE

by

Michael Kosorok
W.R. Kenan, Jr. Distinguished Professor and Chair,
Department of Biostatistics
UNC-Chapel Hill

Host: Dr. Min Qian


Abstract

Precision medicine, the paradigm of improving clinical care through data driven approaches to tailoring treatment to the individual, is an important area of statistical and biomedical research. Individualized treatment rules (ITR's) formalize precision medicine as mappings from the space of patient covariates to the set of available treatments or, equivalently, as mappings which identify covariate-defined subgroups for which different treatments should be applied. ITR's are thus an important tool to improve patient outcomes through utilizing biomarkers to target treatment. Machine learning has become an increasingly utilized and evolving methodology for ITR discovery, and we discuss recent progress in this area and present examples in type I diabetes and bipolar disorder.


Date: Thursday, March 29, 2018
Time: 11:30 A.M. - 12:30 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
AR Building
8th Floor Auditorium
New York, New York

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